# Install Wrangler CLI

npm install -g wrangler



# Login to Cloudflare

wrangler login



# Create new project

wrangler generate my-smart-gateway



# Replace contents of src/index.js with our code

# Deploy!

wrangler deploy

// Set your API key as environment variable in Cloudflare Dashboard

// Environment Variables → Add Variable

// Name: WORKER_API_KEY

// Value: your-secure-api-key-here

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐

│   API Client    │ ── │  Smart Gateway   │ ── │ Multiple AI     │

│ (OpenAI Format) │    │  (This Worker)   │    │ Providers       │

└─────────────────┘    └──────────────────┘    └─────────────────┘

        │                       │                       │

        │ 1. Standard Request   │ 2. Model Lookup       │ 3. Routed Request

        │    {model: "gpt-4"}   │   + Transformation    │   to Correct Provider

        │ ────────────────────> │ ────────────────────> │

        │                       │                       │

        │ 4. Unified Response   │ 5. Provider Response  │

        │    (OpenAI Format)    │    (Various Formats)  │

        │ <──────────────────── │ <──────────────────── │

const response = await fetch('https://your-worker.workers.dev/v1/chat/completions', {

  method: 'POST',

  headers: {

    'Content-Type': 'application/json',

    'Authorization': 'Bearer your-api-key'

  },

  body: JSON.stringify({

    model: 'gpt-4o-mini',  // Auto-routed to correct provider!

    messages: [

      { role: 'user', content: 'Hello, how are you?' }

    ],

    stream: true

  })

});

import OpenAI from 'openai';



const openai = new OpenAI({

  baseURL: 'https://your-worker.workers.dev/v1',

  apiKey: 'your-api-key',

});



const completion = await openai.chat.completions.create({

  model: 'gpt-4o-mini',

  messages: [{ role: 'user', content: 'Hello!' }],

});

// CURRENT ISSUES IDENTIFIED:

// 1. No error retry mechanism

// 2. Limited request timeout handling

// 3. No request caching layer

// 4. Basic authentication only

// 5. No rate limiting per user/provider

// 6. No analytics or monitoring

// Technical Implementation Details:

class ModelProviderMapper {

  constructor() {

    this.cache = new Map();

    this.buildTime = null;

  }



  async buildMapping() {

    // Parallel provider discovery

    const promises = Object.entries(PROVIDER_CONFIG).map(

      async ([providerId, config]) => {

        // Intelligent response parsing for different formats

        return this.parseProviderModels(providerId, config);

      }

    );



    await Promise.allSettled(promises);

  }



  parseProviderModels(providerId, config) {

    // Advanced pattern matching for different API response formats

    if (Array.isArray(data)) {

      // OpenAI-standard format

      return data.map(m => m.id);

    } else if (data.data && Array.isArray(data.data)) {

      // Wrapped array format

      return data.data.map(m => m.id);

    }

    // ... more format handlers

  }

}

// Advanced routing logic with failover capabilities

class SmartRouter {

  async routeRequest(modelId, requestBody) {

    const providerInfo = this.modelMap.get(modelId);



    if (!providerInfo) {

      throw new ModelNotFoundException(`Model ${modelId} not found`);

    }



    // Request transformation pipeline

    const transformedRequest = this.transformRequest(

      requestBody, 

      providerInfo

    );



    return await this.executeUpstreamRequest(

      providerInfo, 

      transformedRequest

    );

  }

}

cloudflare-worker-smart-gateway/

├── 📄 worker.js                 # Main Worker file (single file architecture)

├── 📁 docs/

│   ├── 📄 API_REFERENCE.md      # Complete API documentation

│   ├── 📄 DEPLOYMENT_GUIDE.md   # Step-by-step deployment

│   └── 📄 TROUBLESHOOTING.md    # Common issues and solutions

├── 📁 examples/

│   ├── 📄 nodejs-example.js     # Node.js integration example

│   ├── 📄 python-example.py     # Python integration example

│   └── 📄 web-example.html      # Web frontend example

├── 📄 wrangler.toml             # Cloudflare Worker configuration

└── 📄 package.json              # Dependencies and scripts

// PLANNED IMPROVEMENT:

class AdvancedErrorHandler {

  static async withRetry(operation, maxRetries = 3) {

    for (let attempt = 1; attempt <= maxRetries; attempt++) {

      try {

        return await operation();

      } catch (error) {

        if (attempt === maxRetries) throw error;

        await this.exponentialBackoff(attempt);

      }

    }

  }

}

// PROPOSED ARCHITECTURE:

class SmartCache {

  constructor() {

    this.modelCache = new Map();    // Model list caching

    this.requestCache = new Map();  // Frequent request caching

    this.ttl = 300000; // 5 minutes

  }



  async getWithCache(key, fetchOperation) {

    if (this.cache.has(key) && !this.isExpired(key)) {

      return this.cache.get(key);

    }

    const data = await fetchOperation();

    this.cache.set(key, data, Date.now() + this.ttl);

    return data;

  }

}

// FUTURE ENHANCEMENT:

class AIPoweredRouter {

  async selectBestProvider(modelId, userContext) {

    const candidates = this.getProviderCandidates(modelId);



    // Consider multiple factors:

    const scores = candidates.map(provider => ({

      provider,

      score: this.calculateProviderScore(provider, userContext)

    }));



    return scores.sort((a, b) => b.score - a.score)[0].provider;

  }



  calculateProviderScore(provider, userContext) {

    return (

      provider.reliability * 0.4 +

      provider.speed * 0.3 +

      provider.costEfficiency * 0.2 +

      provider.geoProximity * 0.1

    );

  }

}

// MONITORING PROPOSAL:

class AnalyticsEngine {

  trackRequest(modelId, providerId, duration, success) {

    // Real-time metrics collection

    this.metrics.requestsPerMinute++;

    this.metrics.providerUsage[providerId]++;

    this.metrics.modelUsage[modelId]++;



    // Performance monitoring

    if (duration > this.metrics.slowRequestThreshold) {

      this.alertSlowRequest(modelId, providerId, duration);

    }

  }

}

curl -X GET "https://httpsg4fdev2api.tfai.workers.dev/v1/models"

curl -X POST "https://httpsg4fdev2api.tfai.workers.dev/v1/chat/completions" \

  -H "Authorization: Bearer 1" \

  -H "Content-Type: application/json" \

  -d '{

    "model": "gpt-4o-mini",

    "messages": [{"role": "user", "content": "Hello, world!"}]

  }'